Suzhou Electric Appliance Research Institute
期刊号: CN32-1800/TM| ISSN1007-3175

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三相四桥臂有源电力滤波器控制研究

来源:电工电气发布时间:2021-05-25 13:25 浏览次数:613

三相四桥臂有源电力滤波器控制研究

徐家辉,孙培德
(东华大学 信息学院,上海 201620)
 
    摘 要:针对三相四线制系统中不对称负载的情况,采用了四桥臂的有源电力滤波器,可以实现三相四线制系统的谐波补偿,同时可以治理中线上的谐波电流。为了更好地实现电流跟踪,提出了将BP 神经网络 PID 应用于电流环的电流跟踪,通过 MATLAB/Simulink 仿真验证,并与传统 PI 控制器进行对比,结果表明,BP 神经网络 PID 的控制效果明显优于传统 PI 控制器。
    关键词:BP 神经网络 PID ;有源电力滤波器;三相四桥臂
    中图分类号:TN713+.8     文献标识码:A     文章编号:1007-3175(2021)05-0022-05
 
Research on the Control of Three-Phase Four-Leg Active Power Filter
 
XU Jia-hui, SUN Pei-de
(School of Information, Donghua University, Shanghai 201620)
 
    Abstract: To solve the problem of asymmetric load in three-phase four-wire system, the four-leg active power filter is used to compensate for the harmonic of three-phase four-wire system and to control the harmonic current in the neutral line. For the purpose of tracking current accurately and fast, BP neural network PID is applied to track the current loop. Through the simulation and verification of MATLAB/Simulink and the comparison with traditional PI controller, the results show that the control effect of BP neural network PID is obviously better than that of traditional PI controller.
    Key words: BP neural network PID; active power filter; three-phase four-leg
 
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